AI Engineer
- Source: Indeed
- Actinium Softwares
- Remote
- Delhi
- Full-Time
- Mid level
Job Description
Job Title: AI Engineer – Generative AI, LLM & Agentic AI
Company: Actinium Softwares
Experience: 4+ Years
Job Type: Full-Time/Part-time
Location: Delhi/NCR/Noida ( candidate must be based in Delhi or near by)
Work Mode: Remote (Work From Home)
Salary: ₹60,000+ per month, based on experience and skills
- Job Summary
Actinium Softwares is looking for an experienced AI Engineer with 4+ years of hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI. The ideal candidate should have strong expertise in developing and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems.
The candidate will be responsible for building intelligent AI solutions, integrating advanced AI technologies, and developing scalable, production-ready applications to solve real-world business problems. This is a fully remote opportunity for candidates with strong technical and practical AI engineering skills.
- Required Skills
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Strong programming skills in Python.
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Hands-on experience with Artificial Intelligence and Machine Learning.
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Strong knowledge of Generative AI and Large Language Models (LLMs).
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Practical experience building Retrieval-Augmented Generation (RAG) applications.
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Experience developing AI agents and Agentic AI workflows.
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Knowledge of Natural Language Processing (NLP) and Deep Learning.
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Understanding of transformer models, prompt engineering, embeddings, and semantic search.
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Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.
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Familiarity with vector databases such as FAISS, Pinecone, Chroma, or similar tools.
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Experience with PyTorch, TensorFlow, or Scikit-learn.
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Knowledge of REST APIs, Git, Docker, and AI model deployment.
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Understanding of cloud platforms such as AWS, Azure, or Google Cloud is an advantage.
- Roles and Responsibilities
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Design, develop, test, and deploy AI and Machine Learning models.
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Build Generative AI applications using LLMs such as GPT, Llama, or other suitable models.
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Develop and optimize RAG pipelines for document retrieval, knowledge management, and AI-powered question answering.
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Design and implement Agentic AI systems for intelligent automation and multi-step task execution.
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Develop NLP solutions for text classification, summarization, information extraction, and conversational AI.
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Apply Deep Learning and Machine Learning techniques to solve complex business problems.
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Integrate AI models with existing applications, APIs, and backend systems.
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Evaluate and optimize AI models for accuracy, performance, scalability, and reliability.
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Deploy and maintain production-ready AI applications.
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Collaborate with team members to develop innovative AI-based solutions.
- Required Qualifications
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Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related field.
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Minimum 4+ years of hands-on experience in Artificial Intelligence, Machine Learning, or AI Engineering.
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Demonstrated practical experience in LLMs, Generative AI, RAG, and Agentic AI.
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Strong understanding of NLP, Deep Learning, and Machine Learning concepts.
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Experience building and deploying real-world AI applications.
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Strong analytical, problem-solving, and communication skills.
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Ability to work independently and collaborate effectively in a fully remote environment.
- Contact and Application
Interested candidates who meet the above requirements are invited to submit their updated resumes along with details of their relevant AI projects and hands-on experience.
Send your application to: [email protected]
Pay: ₹60,000.00 - ₹70,000.00 per month
Benefits:
- Flexible schedule
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
- Work from home
Work Location: Hybrid remote in Delhi, Delhi
Skills
- ncr
- mode
- processing-js
- Python
- LangChain
- LangGraph
- LlamaIndex
- FAISS
- chroma
- PyTorch
- Tensorflow
- Scikit-learn
- Docker
- amazon-web-services
- microsoft-azure
- google-cloud-platform
- meta-llama
- llama
